SR2S197 - Sports Business Analytics 01 Sep 2023 - 31 Aug 2029 | Version 1
Associated Module Information
| Module Code: | SR2S197 | ||
|---|---|---|---|
| Module Title: | Sports Business Analytics | ||
| Faculty: | Faculty of Life Sciences and Education | ||
| Faculty Group: | Health, Sport and Professional Practice | ||
| Faculty Sub Group: | Football Coaching and Development | ||
| Module Leader: | Adam Sherratt | ||
| Module Team: | Chris Emsley | ||
| First Intended Intake: | SEP 2023 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 5 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100097 - sports management | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2023 |
| Valid To | 31 Aug 2029 |
Module Aims
The aims of the module are to support students in developing the ability to justify management and financial decisions using a clear evidence-base, drawing on qualitative and financial data.
Students will interpret spreadsheets and other quantitative datasets in order to produce clearly articulated and relevant qualitative narrative to explain the meaning behind the numbers.
The module will support students in developing business analytics, financial interpretation and numeracy skills for both application in the workplace and when collecting, interpreting and analysing their primary data in their final year research projects/dissertations.
Content Summary
The content summary indicates the general content of the module overall:
Section 1: Tools and Techniques in Analytics for Management Decision Making:
Section 2: Tools and Techniques in Financial Decision Making
Section 3: Making Evidence-based Management and Financial Decisions
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 48 |
| Independent Study | 100 |
| Directed Study | 52 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Identify, perform and draw applied conclusions from a range of appropriate quantitative techniques and financial/ non-financial data sources to analyse data used to inform management decisions. |
| LO2 | Demonstrate an ability to apply evidence-based decision-making in addressing real world, practice-relevant issues in the field of a student’s study. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Report 1 | An individual report summarising the data used, methods of analysis, key conclusions and subsequent recommendations as a result of analysis of a supplied dataset in response to a business question relevant to the students chosen degree pathway. | 0 | 2000 | 50 | No | 40 |
| Asynchronous Assessment | Poster 1 | Analysis and interpretation of data and the professional presentation of this in a user friendly poster format | 0 | N/A | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Report 1 | ✔ | ✔ | |
| Poster 1 | ✔ | ✔ | |